The 7 Steps of Data Analysis - Statswhisperer

The 7 Steps of Data Analysis:

A Manual for Conducting a Quantitative Research Study

First Edition WILLIAM M. BANNON, JR.

StatsWhisperer Press New York

Copyright ? 2013 by StatsWhisperer Press. A Division of William Bannon Associates, Inc. 1669 85th Street, Brooklyn, N.Y. 11214

All rights reserved. No part of this book protected by this copyright notice may be reproduced or utilized in any manner whatsoever or by any means, electronic or mechanical, including photocopying, recording, or by any informational storage and retrieval system, without the permission of the copyright owner, except in the case of brief quotations embodied in critical articles or reviews.

Senior Editor: Tamara A. Bannon Assistant Editor: Lori Bruno-Lee Cover Design: Tamara A. Bannon

Library of Congress Cataloging-in-Publication Data

Bannon, Jr., William M., The 7 Steps of Data Analysis / William M. Bannon, Jr. ?1st ed. p. cm.

Includes bibliographical references

ISBN 978-0-615-85729-9

Library of Congress Control Number 2013949397

1. Steps of Data Analysis (Statistics)--Handbooks, manuals, etc.

I. Authorship

I. Bannon, Jr., William M.

II. Title

ISBN 978-0-615-85729-9 Printed in the United States of America

Dedication:

To My Wife Tammy and Children Reese, Autumn, Luciana, and Austin Without Whose Support This Book Would Not Be Possible.

And My Father William and Mother Susanne Without Whom Life Would Not Be Possible.

Acknowledgments

I would like to extend my thanks to all of the authors, educators, and colleagues who contributed their effort, talent, and good will to the learning experience that helped form the principles presented in this book. In particular, I would like to thank my original research mentor Dr. Chaya Piotrkowski for not only introducing me to the principles of quantitative and qualitative research, but also for illustrating the marvelous things possible through each. Also, I would like to thank my long time mentor Dr. Mary McKay, who worked closely with me for many years as I developed this system through analyzing the rich data she collected through her bevy of studies. I would like to thank Dr. Irwin Epstein for all his superb mentorship over these many years. Lastly, I would like to thank my colleagues at Pace University for their contributions, especially Dr. Joanne Singleton and Dr. Lillie Shortridge-Bagget, who exemplify the cutting edge mentality, intelligence, and work ethic, that move a field forward.

Contents

Preface

xi

Part One: Introduction

1

1.1 The Background of this Textbook

1

1.1.1 Who Was this Book Written for?

1

1.1.2 The Data Analysis Cycle of Inner-Knowledge

2

1.2 The Key is Knowing the Essentials

3

1.3 Creating a Foundation to Build Upon

4

1.4 Layout of the Text

4

1.5 What is Data Analysis?

5

1.6 The Components of Data Analysis

5

1.6.1 The Cake Recipe & The 7 Steps Of Data Analysis

6

1.6.2 The Cake Ingredients & The Study Data

7

1.6.3 The Cooking Utensils & Statistical Tests

8

1.7 Why Statistics Are Awesome

9

1.7.1 Applying Statistics to Home and Work Life

9

1.7.2 Curing the Who's The Boss Syndrome

11

1.8 Applying the Materials

12

Part Two: A Model for Conducting Statistical Research

13

2.1 What Will This Section Tell Us?

13

2.2 The Evolution of Professional Models: Taking It to the Streets

13

2.3 The Evolution of Statistical Research: Taking It to the Streets

15

2.4 What Elements Should a Model of Data Analysis Reflect?

17

2.5 Shared Elements of Successful Models

19

2.5.1 Fundamentally Sound

19

2.5.2 Conceptually Clear and Understandable

20

2.5.3 A Clear Presentation of Ordered Steps

28

2.6 A Game Plan for Success

33

Part Three: The Data Analysis Concepts You Need To Know

35

3.1 What Will This Section Tell Us?

35

3.2 Parametric and Non-Parametric Statistics

35

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